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TPOT2
Max weighted average selector
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TPOT2
GitHub
Home
Installation
Using TPOT2
TPOT2 API
TPOT2 API
Estimator
Classifier
Regressor
Examples
Examples
Overview
2 Defining Search Space (config dicts)
Feature selection for single classifier
4 Symbolic Regression and Classification
5 GraphPipeline
6 SH and early termination
Parallelization
8 Genetic Algorithm Overview
Documentation
Documentation
tpot2
tpot2
version
Graphsklearn
Logbook
Population
builtin_modules
builtin_modules
Arithmetictransformer
Column one hot encoder
Feature encoding frequency selector
Feature set selector
Feature transformers
Genetic encoders
Imputer
One hot encoder
Passthrough
Selector wrappers
Zero count
config
config
All single modules
Autoqtl builtins
Classifiers
Classifiers sklearnex
Hyperparametersuggestor
Mdr configs
Regressors
Regressors sklearnex
Selectors
Special configs
Transformers
evolvers
evolvers
Base evolver
Steady state evolver
individual_representations
individual_representations
Individual
graph_pipeline_individual
graph_pipeline_individual
Individual
Optuna optimize
Templates
subset_selector
subset_selector
Subsetselector
objectives
objectives
Average path length
Complexity
Number of leaves
Number of nodes
selectors
selectors
Lexicase selection
Max weighted average selector
Max weighted average selector
Table of contents
max_weighted_average_selector
Nsgaii
Random selector
Tournament selection
Tournament selection dominated
tpot_estimator
tpot_estimator
Cross val utils
Estimator
Estimator utils
Steady state estimator
templates
templates
Tpottemplates
utils
utils
Eval utils
Utils
Contributing
Citing TPOT2
Support
Related
Table of contents
max_weighted_average_selector
Max weighted average selector